Quote:
Originally Posted by BradZax
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Right now you can generate an image on google gemni, it uses recursive learning and LLM models.
You can also generate an image on one of their diffusion models, these do not use recursive learning or LLM models.
The recursive memory generation costs 10$ a second of wattage to generate.
The problem isn't "this is as much wattage as technology allows us to pipe into it"
It's that, "currently it costs 10$ to generate that much wattage."
So, they don't allow users to use the full version of their LLMs or they would go bankrupt in processing costs.
Every question, causes the LLM to turn on compactors that need to be cooled.
It could turn on more compactors now, but they don't have the power to cool them.
If overnight we built enough pwerplants to generate enough power so that it costs 10 cents to generate 1 second of video, you would see massive improvements in LLM results that you thought were impossible, overnight.
The new version of chat GPT and shit, thats trying to do MORE with less. Optimizing their limited model to function as efficiently as it can with current power limitations.
But the thing they are investing in, is capable doing more, with MORE!
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Did you read what I wrote about EQ? You think that because you can pay some kid to get you from level 3 to 4 that money = leveling ... and it does ... to a point. Even if level 40 takes a lot longer than 4 you
can (probably, depending on the kid) pay them more to make them spend the hours needed to get you to 40.
But if you try to make that kid farm you a live toon with max AAs, the kid will go off to college before he finishes. You can throw ten times as much money per hour at him and it won't change a thing.
It's an analogy, but that's the gist of it for AI too. If an AI can (extending the analogy) get you to 60 with today's tech, then yes, throwing more power at it might get you to 60 with 1 AA. Even more power (a lot: remember, diminishing returns) might get you 2 AAs.
But if you want all AAs (ie a working EQ), even with all the power in the world, current LLMs could never do it. But don't try to argue with me: go learn more about how this amazing tech works yourself!